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Aberration correction for real-time measurements in adaptive confocal microscopy

Subject Area Measurement Systems
Microsystems
Term from 2015 to 2024
Website Homepage
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 271021903
 
Final Report Year 2024

Final Report Abstract

In the present research project, a fully adaptive confocal microscope was realized, which relies exclusively on adaptive optical elements, completely eliminating the need for mechanically moving parts. The adaptive elements simultaneously enable a 3D scan and aberration correction. Initially, novel adaptive lenses with spherical aberration correction were investigated and employed for axial scanning. Through in vivo fluorescence measurements in zebrafish embryos, it was demonstrated that such lenses allow simultaneous tuning of focal length and correction of both symmetric (spherical) and asymmetric (astigmatism and coma) sample-induced aberrations. Building upon these results, diffraction-limited scanning was extended to three dimensions. For this purpose, a biaxial adaptive prism was developed, enabling lateral scanning in transmission. Combined with an adaptive lens, a fully adaptive microscope was realized. To achieve homogeneous focus quality across a large three-dimensional scanning range, a telecentric F- Theta lens was specifically designed and implemented. Fluorescence measurements on zebrafish embryos successfully demonstrated the feasibility of fully adaptive, high-resolution three-dimensional scanning. In fluorescence measurements, it is crucial to address chromatic aberrations due to the use of at least two wavelengths. Consequently, an adaptive lens with additional chromatic aberration correction was implemented, and its functionality was successfully demonstrated. One of the major challenges in the application of adaptive elements lies in their precise control. This was predominantly achieved through a closed-loop system, where the behavior of adaptive elements was measured using digital holography, and voltages were regulated accordingly. Towards the end of the project, successful adoption of machine learning methods, as an alternative to classical control techniques, facilitated precise control of the adaptive achromat. In summary, this project successfully showcased that adaptive optical elements can significantly contribute to three-dimensional high-resolution fluorescence microscopy. Their capability for flexible scanning and simultaneous correction of sample-induced aberrations represents a substantial advancement in imaging. The integration of machine learning also opens promising avenues for the development of intelligent microscopes, establishing a crucial foundation for future technologies in this field.

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